文章
關於 AI 代理、回測與市場預測稽核，以及平台架構的研究。
體育
Can an AI model actually beat the bookmakers and betting exchanges? Here is what the vig, the closing line, and market efficiency really mean for machine forecasting — and what a genuine edge would require.
閱讀時間 4 分鐘5 個章節
體育
Expected goals (xG) explained in plain English: what the number really measures, why xG isn't goals in one match, and how it feeds forecasting models.
閱讀時間 6 分鐘7 個章節
體育
How to run thousands of simulated tournaments to turn a single-match model into honest win probabilities — sampling, convergence, and confidence intervals.
閱讀時間 6 分鐘7 個章節
體育
How a double Poisson model turns attack and defence strength into expected goals, a scoreline matrix, and clean home, draw and away win probabilities.
閱讀時間 6 分鐘6 個章節
體育
Two forecasts for the same match rarely agree — and the disagreement is the most useful thing on the screen. How to read an AI model against a prediction market.
閱讀時間 4 分鐘5 個章節
體育
AI keeps promising to beat sports betting markets. What a betting exchange really is, the one man who genuinely beat the odds, why the math is brutal — and what AI actually changes.
閱讀時間 6 分鐘8 個章節
體育
How do AI models predict the 2026 FIFA World Cup? A clear breakdown of methodology, probability distributions, and the transparency gap in AI forecasting systems.
閱讀時間 1 分鐘2 個章節
體育
Discover how prediction markets aggregate dispersed knowledge around the World Cup — and the three statistical limits that make them imperfect.
閱讀時間 7 分鐘6 個章節
體育
AI estimates probabilities, not winners. Discover why the 48-team World Cup, injuries, and model disagreement make any forecast humbling.
閱讀時間 7 分鐘7 個章節
